main.py

"""
Weather Data Analyzer - Main Program
"""

from data_generator import DataGenerator
from analyzer import WeatherAnalyzer
from globals import APPLICATION_NAME, APPLICATION_VERSION

def print_separator(char='=', length=70):
    """
    Print separator line
    """
    print(char * length)

def display_statistics(analyzer):
    """
    Display statistical analysis
    """
    print_separator()
    print("Temperature Statistics")
    print_separator()
    
    temp_stats = analyzer.get_temperature_stats()
    if temp_stats:
        print(f"Count: {temp_stats['count']} readings")
        print(f"Mean: {temp_stats['mean']} C")
        print(f"Median: {temp_stats['median']} C")
        print(f"Min: {temp_stats['min']} C")
        print(f"Max: {temp_stats['max']} C")
        if 'stdev' in temp_stats:
            print(f"Standard Deviation: {temp_stats['stdev']} C")
    
    print("")
    print_separator()
    print("Humidity Statistics")
    print_separator()
    
    humidity_stats = analyzer.get_humidity_stats()
    if humidity_stats:
        print(f"Mean: {humidity_stats['mean']}%")
        print(f"Median: {humidity_stats['median']}%")
        print(f"Min: {humidity_stats['min']}%")
        print(f"Max: {humidity_stats['max']}%")
    
    print("")

def display_distribution(analyzer):
    """
    Display weather distribution
    """
    print_separator()
    print("Temperature Distribution")
    print_separator()
    
    distribution = analyzer.get_weather_distribution()
    total = sum(distribution.values())
    
    for category, count in distribution.items():
        percentage = (count / total * 100) if total > 0 else 0
        print(f"{category}: {count} readings ({percentage:.1f}%)")
    
    print("")

def display_location_averages(analyzer):
    """
    Display average temperatures by location
    """
    print_separator()
    print("Average Temperature by Location")
    print_separator()
    
    averages = analyzer.get_average_by_location()
    
    for location, avg_temp in sorted(averages.items(), key=lambda x: x[1], reverse=True):
        print(f"{location}: {avg_temp} C")
    
    print("")

def display_extreme_weather(analyzer):
    """
    Display extreme weather events
    """
    print_separator()
    print("Extreme Weather Events")
    print_separator()
    
    extreme_days = analyzer.find_extreme_days()
    
    if not extreme_days:
        print("No extreme weather detected")
    else:
        print(f"Found {len(extreme_days)} extreme weather events:")
        for weather in extreme_days[:5]:
            print(f"  {weather.timestamp.strftime('%Y-%m-%d %H:%M')} - {weather.location}")
            print(f"    Temperature: {weather.temperature} C")
            if weather.wind_speed and weather.wind_speed > 80:
                print(f"    Wind: {weather.wind_speed} km/h")
            if weather.precipitation and weather.precipitation > 50:
                print(f"    Precipitation: {weather.precipitation} mm")
    
    print("")

def main():
    """
    Main program execution
    """
    print_separator()
    print(f"{APPLICATION_NAME} v{APPLICATION_VERSION}")
    print_separator()
    print("")
    
    # Generate sample data
    print("Generating sample weather data...")
    generator = DataGenerator()
    dataset = generator.generate_dataset(days=14, readings_per_day=4)
    print(f"Generated {len(dataset)} weather readings")
    print("")
    
    # Create analyzer and add data
    analyzer = WeatherAnalyzer()
    for data in dataset:
        analyzer.add_data(data)
    
    # Display analysis results
    display_statistics(analyzer)
    display_distribution(analyzer)
    display_location_averages(analyzer)
    display_extreme_weather(analyzer)
    
    # Display trend
    print_separator()
    print("Temperature Trend Analysis")
    print_separator()
    trend = analyzer.detect_trend()
    print(f"Overall trend: {trend}")
    print("")
    
    # Sample data details
    print_separator()
    print("Sample Weather Readings")
    print_separator()
    for i, weather in enumerate(dataset[:5], 1):
        print(f"{i}. {weather.location} - {weather.timestamp.strftime('%Y-%m-%d %H:%M')}")
        print(f"   Temperature: {weather.temperature} C")
        print(f"   Humidity: {weather.humidity}%")
        print(f"   Conditions: {weather.conditions}")
        print("")

if __name__ == "__main__":
    main()